Abstract A variety of drought monitoring tools are being used for early warning systems and formulating drought mitigation policies. Standardized Drought Indices (SDI) are the most commonly used. However, the use of SDI at multiple stations located in a homogenous climatic region with internally similar characteristics and contagious in space arises several problems due to spatial and temporal behaviour in data preliminaries. Therefore, a comprehensive procedure is required to accumulate information coming from multiple stations. In this paper, we proposed a new procedure for regional drought monitoring: the Spatially Weighted Accumulated Drought Index (SWADI). The potential of the proposed procedure is based on steady-state probabilities, which were used as a weighting scheme for the prospective of accumulating information from different stations. We employed the proposed procedure on six meteorological stations of the Northern areas of Pakistan. The performance of the proposed procedure is observed based on three commonly used drought indices at a one-month time scale. This research provides a basis for the development and enhancement of drought hazards' characterization, motivates researchers and policymakers to use the accurate and more representative temporal characterization of drought hazard in a specific homogenous climatic region.

中文翻译：

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一种新的区域干旱监测空间加权累积方法

摘要 多种干旱监测工具被用于预警系统和制定干旱缓解政策。标准化干旱指数 (SDI) 是最常用的。然而，由于数据初步中的空间和时间行为，在位于具有内部相似特征和空间传染性的同质气候区的多个站点使用 SDI 会产生一些问题。因此，需要一个综合程序来累积来自多个站点的信息。在本文中，我们提出了一种新的区域干旱监测程序：空间加权累积干旱指数（SWADI）。所提议程序的潜力基于稳态概率，该概率被用作从不同台站累积信息的预期的加权方案。我们在巴基斯坦北部地区的六个气象站采用了建议的程序。在一个月的时间尺度上，基于三个常用的干旱指数来观察所提出程序的性能。这项研究为发展和加强干旱灾害表征提供了基础，激励研究人员和政策制定者在特定的同质气候区使用准确和更具代表性的干旱灾害时间表征。